Effects of the attributes of supply chain openness on sustainable supply chain performance

2019 ◽  
Vol 69 (9) ◽  
pp. 2047-2068
Author(s):  
Syed Awais Ahmad Tipu ◽  
Kamel Fantazy
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Weak Association ◽  
Management Literature

Purpose The purpose of this paper is to empirically examine the effects of the attributes of supply chain openness on sustainable supply chain performance (SSCP). Design/methodology/approach Data were collected by questionnaire survey from 259 supply chain executives in Pakistan. Structural equation modeling (SEM) was used to test the hypotheses. Findings The results indicate that the relative openness of supply chain organizations in Pakistan is very low. Further, all the attributes of supply chain openness have positive but weak association with SSCP. This indicates that there is some awareness of sustainable supply chain but there remains a significant room for improvement with regard to the relationships among different attributes of supply chain openness and SSCP. Pakistani organizations do not fully embrace the concept of supply chain openness in order to achieve SSCP. Originality/value The current paper makes three important contributions to the existing literature. First, it empirically examines the attributes of supply chain openness. Second, it contributes to the broader sustainable supply chain management literature by exploring the effects of the attributes of supply chain openness on SSCP. Third, given the limited studies that address sustainable supply chain issues in the context of developing countries, this is one of the few studies that add value to the body of literature in the context of developing countries, such as Pakistan.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Enhancing supply chain performance through collaborative planning, forecasting, and replenishment

2019 ◽  
Vol 25 (4) ◽  
pp. 625-646 ◽  
Author(s):  
Hassan Barau Singhry ◽  
Azmawani Abd Rahman
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Collaborative Planning ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Innovation Capability ◽  
Manufacturing Companies ◽  
Content Type

Purpose Despite the importance of collaborative planning, forecasting, and replenishment (CPFR), its influence on supply chain innovation capability (SCIC) and supply chain performance (SCP) has not been sufficiently examined. The purpose of this paper is to examine the antecedence of SCP through CPFR and SCIC. Design/methodology/approach Through cluster and stratified random sampling, 286 responses from top managers of 1,574 Nigerian manufacturing companies were analyzed. Data analysis was performed using structural equation modeling with AMOS graphics. Findings The results show that SCIC has a full mediating effect on the relationship between CPFR and SCP. Specifically, CPFR has a significant relationship with both SCP and SCIC, and SCIC also relates significantly to SCP. Practical implications This study offers implications for manufacturers in developing countries in general, and in Nigeria in particular, by providing a guideline on how to improve SCP through CPFR. Originality/value The paper contributes to the limited studies on CPFR and SCP by extending this line of study into the realm of innovation capability and innovation. It integrates the social exchange theory and the dynamic capabilities theory to examine the collaborative processes of CPFR in the supply chain context. This study stressed the importance of boundary theoretical spanning by extending CPFR and SCP into the domain of innovation capability.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

Effect of supply chain technology internalization and e-procurement on supply chain performance

2019 ◽  
Vol 26 (6) ◽  
pp. 1425-1442
Author(s):  
Durgesh Pattanayak ◽  
Plavini Punyatoya
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Project Managers ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Effective Utilization ◽  
Content Type ◽  
Supply Chain Efficiency ◽  
Proposed Model ◽  
Survey Responses

Purpose The purpose of this paper is to examine how e-procurement (EP) and supply chain technology internalization (SCTI) influence supply chain performance (SCP) through supply chain integration (SCI). Design/methodology/approach This research analyzed 214 survey responses from project managers who have prior experience in the field of supply chain management. Structural equation modeling was used to analyze the data. Findings The results show that EP and SCTI positively influence SCI and SCP. The effects of EP and SCTI on SCP are found to be mediated by SCI in the context for the construction industry. Research limitations/implications Future studies should focus on quantitative measures of SCP like budget overrun, supply chain efficiency and project success. Further research can be done through the exploration of moderating interactions of the proposed model. Practical implications First, the study highlights the importance of SCTI. Supply chain managers should first focus on effective utilization of different technologies used to support supply chain. Second, the research gives the guidelines to the supply chain managers and project managers about the benefits of EP. They should focus on proper implementation of EP in their organizations. Originality/value This paper contributes to the literature by proposing and testing the influences of EP and SCTI on SCI. This allows a strategic viewpoint when implementing SCTI, EP systems and SCI, intended to improve SCP.

The influence of dynamic capabilities on hospital-supplier collaboration and hospital supply chain performance

2017 ◽  
Vol 37 (5) ◽  
pp. 664-684 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Positive Impact ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Technology Orientation ◽  
Supplier Collaboration

Purpose The purpose of this paper is to explore the influence of hospital’s visibility for sensing (VFS), learning, coordinating and integrating on hospital-supplier collaboration. Second, it explored the influence of hospital-supplier collaboration on hospital supply chain performance. The author also explored how the technology orientation of the medical chain units influences the above linkages. Design/methodology/approach The study adopted a multi-unit study of different hospital supply chains. Consequently, perceptual data were gathered from seven dominant entities in a typical medical/hospital supply chain: hospitals and clinics, accommodation (i.e. hotels), chemistry and pharmaceutical, marketing/public relations/promotion, medical equipment manufacturers, food and beverage and insurance. The responses were gathered using e-mail survey and were analyzed using structural equation modeling. Findings Based on 192 completed responses, the author found positive influences of VFS, learning and integrating on hospital-supplier collaboration and a positive impact of hospital-supplier collaboration on hospital supply chain performance. An insignificant influence of hospital’s visibility for coordinating was noted on hospital-supplier collaboration. The study argued hospitals to invest more for enriching their dynamic capabilities to diagnose the changes in the environment so as to sustain their collaborative relationships leading to positive performance implications. Originality/value The study is the foremost to investigate the effects of hospital’s dynamic capabilities on its collaborative efforts with its key supplier and their influence on hospital supply chain performance. Also the study is foremost in exploring the importance of technology orientation on hospital dynamic capabilities and hospital-supplier collaboration. An important contribution of the research is the conceptualization of supply chain visibility core components (visibility of sensing, visibility of learning, visibility of coordinating and visibility of integrating) in the context of hospital supply chains.

Supply chain collaboration in performance-based contracting: an empirical study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Uvet ◽  
Hasan Celik ◽  
Sedat Cevikparmak ◽  
Saban Adana
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Convincing Evidence ◽  
The Body ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Using Data ◽  
The Impact

PurposeDespite the significant increase in the adoption of performance-based contracting (PBC) in various industries, the primary value drivers of it are still not clear. Considering a lack of empirical evidence for PBC, this study investigates the effects of collaboration between the suppliers to understand the value offerings created in PBC by empirical findings. The purpose of this paper is to examine how supply chain collaboration (SCC) affects PBC benefits.Design/methodology/approachUsing data from 381 survey participants who hold the title of manager or above, hypotheses are tested using structural equation modeling (SEM).FindingsThe results reveal that a strong and positive relationship between SCC and PBC benefits.Research limitations/implicationsOne of the limitations of this research is the collection of data through the Amazon Mechanical Turk online service. The experience level of participants in PBC and the absence of validation of these scale items by industrial experts are other limitations of this study. Nonetheless, the authors found convincing evidence that SCC has a positive effect on PBC benefits.Practical implicationsThe findings highlight the importance of SCC to increase financial, operational and non-financial benefits of PBC for practitioners. The findings offer guidance for managers aiming to increase PBC benefits through SCC.Originality/valueThis is the first study to empirically examine the impact of SCC for better PBC and contributes to the body of knowledge by providing empirical findings in a PBC context. This research also develops valid and reliable instruments to measure PBC benefits through rigorous empirical and statistical analysis that can be used in future studies.

Information sharing, coordination and supply chain performance

2019 ◽  
Vol 119 (5) ◽  
pp. 1046-1071 ◽  
Author(s):  
Siyu Li ◽  
Xiling Cui ◽  
Baofeng Huo ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Demand Uncertainty ◽  
Mainland China ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Processing Theory ◽  
Strategic Coordination

PurposeThe purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).Design/methodology/approachThe conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.FindingsThe authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.Originality/valueThis study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Taha Jafari ◽  
Azim Zarei ◽  
Adel Azar ◽  
Alireza Moghaddam
Keyword(s):  
Supply Chain ◽  
Business Intelligence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Approach ◽  
Supply Chain Performance ◽  
Content Type ◽  
Supply Chain Agility ◽  
Two Phases ◽  
The Impact

PurposeThe paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.Design/methodology/approachThe study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.FindingsThe results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.Originality/valueTo the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

Sustainability knowledge and training: outcomes and firm performance

2019 ◽  
Vol 30 (2) ◽  
pp. 294-311 ◽  
Author(s):  
Laura M. Birou ◽  
Kenneth W. Green ◽  
R. Anthony Inman
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Structural Equation ◽  
Green Manufacturing ◽  
Equation Modeling ◽  
Organizational Sustainability ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact ◽  
And Training

Purpose The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable supply chain outcomes (SSCO) and firm performance. It also provides a valid and reliable measure of SSCO. Design/methodology/approach Data collected from 129 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations improved sustainability training and knowledge, utilize SSCP, the degree to which SSCO result, and the subsequent operational performance (OPP) and environmental economic performance (EEP). Findings Organizational sustainability training and knowledge positively impacts SSCP, and the utilization of SSCP results in SSCO which favorably impact OPP and EEP. Research limitations/implications The study is limited to manufacturing organizations. Practical implications Practitioners are encouraged to improve organizational learning and training and are provided with a valid and reliable scale for measuring the outcomes of their sustainable practices. Combined with the work of others, this provides a framework for evaluating different aspects of sustainability with a firm. Social implications Improved green manufacturing practices improves the environment by eliminating all forms of waste and provides eco-friendly products and services. Originality/value A sustainable supply chain training and knowledge model is proposed and empirically assessed. The results of this investigation support the proposition that sustainability training and knowledge support the implementation of sustainability supply chain practices which, in turn, improve sustainability outcomes and operational and EEP.

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